\(\diamond \)  Related Works Deep learning tries to enhance the detection accuracy while considering high dimensional images. For example, Boroumand et al [1]} proposed a novel convolutional neural network (CNN) architecture called SRNet for steganalysis. SRNet is independent of many newly introduced design elements yet it still produces a high performance through deep learning. Although deep learning enhances the performance of steganalysis significantly, it still has time complexity issues. Along side of deep learning, evolutionary algorithms (EA) have been proposed for this task and has shown that they can improve the performance of steganalysis better than deep learning [2]}.
